Modeling and analysis of an improved PV array system under partially shaded conditions

Sani Saidu, Patric U Okorie, Gbenga A Olarinoyi, Iliyasu Onimisi Momoh, Abubakar Umar

Abstract


The performance of solar photo-voltaic array is greatly influenced by the conditions of the solar cells, such as the insolation and temperature received by the solar cells. This proposed work is based on modelling and analysis of an improved PV array model under partial shading condition. This is based on introducing shading parameter as a function of temperature and irradiance in to the general model. A Matlab-based Simulink model is developed on the basis of Shockley diode equations. The developed model is employed to predict accurately the characteristic curves of a PV array considering different degree of shading. In order to validate the accuracy and effectiveness of the proposed model, different simulations were carried out involving uniform and partially shaded conditions across PV array with bypass diodes. The proposed model was compared with the parameters of the conventional Model of the PV array using maximum power point, open-circuit voltage, and short-circuit current, as the performance metrics.


Full Text:

PDF

References


Bikaneria, J., Joshi, S. P., & Joshi, A. (2013). Modeling and Simulation of PV Cell using One-diode model. International journal of scientific and research publications, 3(10), 1-4.

Dolara, A., Grimaccia, F., Mussetta, M., Ogliari, E., & Leva, S. (2018). An Evolutionary-Based MPPT Algorithm for Photovoltaic Systems under Dynamic Partial Shading. Applied Sciences, 8(4), 558.

Duan, Q., Leng, J., Duan, P., Hu, B., & Mao, M. (2015). An improved variable step PO and global scanning MPPT method for PV systems under partial shading condition. Paper presented at the 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics.

Emeksiz, C., Akbulut, A., Dogan, Z., & Akar, M. INTERNATIONAL JOURNAL OF RESEARCH SCIENCE & MANAGEMENT.

Mohapatra, A., Nayak, B., Das, P., & Mohanty, K. B. (2017). A review on MPPT techniques of PV system under partial shading condition. Renewable and Sustainable Energy Reviews, 80, 854-867.

Ovaska, S. (2010). Maximum power point tracking algorithms for photovoltaic applications. Diss. Aalto University.

Pillai, D. S., & Rajasekar, N. (2017). Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems. Renewable and Sustainable Energy Reviews.

Raina, G., Patil, M. D., Mandal, S., Hedau, R., & Shinde, S. (2013). A novel technique for PV panel performance prediction. International Journal of Computer Applications, 975, 8887.

Townsend, T. U. (1989). A method for estimating the long-term performance of direct-coupled photovoltaic systems. University of Wisconsin--Madison.

Wei, T., Liu, D., & Zhang, C. (2017). An Improved Particle Swarm Optimization (PSO)-Based MPPT Strategy for PV System. Paper presented at the MATEC Web of Conferences.

Yang, Z., Duan, Q., Zhong, J., Mao, M., & Xun, Z. (2017). Analysis of improved PSO and perturb & observe global MPPT algorithm for PV array under partial shading condition. Paper presented at the Control And Decision Conference (CCDC), 2017 29th Chinese.


Refbacks

  • There are currently no refbacks.